Integrative molecular bioinformatics study of human adrenocortical tumors : microRNA, tissue-specific target prediction, and pathway analysis.

MicroRNAs (miRs) are involved in the pathogenesis of several neoplasms; however, there are no data on their expression patterns and possible roles in adrenocortical tumors. Our objective was to study adrenocortical tumors by an integrative bioinformatics analysis involving miR and transcriptomics profiling, pathway analysis, and a novel, tissue-specific miR target prediction approach. Thirty-six tissue samples including normal adrenocortical tissues, benign adenomas, and adrenocortical carcinomas (ACC) were studied by simultaneous miR and mRNA profiling. A novel data-processing software was used to identify all predicted miR-mRNA interactions retrieved from PicTar, TargetScan, and miRBase. Tissue-specific target prediction was achieved by filtering out mRNAs with undetectable expression and searching for mRNA targets with inverse expression alterations as their regulatory miRs. Target sets and significant microarray data were subjected to Ingenuity Pathway Analysis. Six miRs with significantly different expression were found. miR-184 and miR-503 showed significantly higher, whereas miR-511 and miR-214 showed significantly lower expression in ACCs than in other groups. Expression of miR-210 was significantly lower in cortisol-secreting adenomas than in ACCs. By calculating the difference between dCT(miR-511) and dCT(miR-503) (delta cycle threshold), ACCs could be distinguished from benign adenomas with high sensitivity and specificity. Pathway analysis revealed the possible involvement of G2/M checkpoint damage in ACC pathogenesis. To our knowledge, this is the first report describing miR expression patterns and pathway analysis in sporadic adrenocortical tumors. miR biomarkers may be helpful for the diagnosis of adrenocortical malignancy. This tissue-specific target prediction approach may be used in other tumors too.

A microRNA profile of human CD8.

BackgroundRecently, regulatory T (Treg) cells have gained interest in the fields of immunopathology, transplantation and oncoimmunology. Here, we investigated the microRNA expression profile of human natural CD8+CD25+ Treg cells and the impact of microRNAs on molecules associated with immune regulation.MethodsWe purified human natural CD8+ Treg cells and assessed the expression of FOXP3 and CTLA-4 by flow cytometry. We have also tested the ex vivo suppressive capacity of these cells in mixed leukocyte reactions. Using TaqMan low-density arrays and microRNA qPCR for validation, we could identify a microRNA `signature¿ for CD8+CD25+FOXP3+CTLA-4+ natural Treg cells. We used the `TargetScan¿ and `miRBase¿ bioinformatics programs to identify potential target sites for these microRNAs in the 3¿-UTR of important Treg cell-associated genes.ResultsThe human CD8+CD25+ natural Treg cell microRNA signature includes 10 differentially expressed microRNAs. We demonstrated an impact of this signature on Treg cell biology by showing specific regulation of FOXP3, CTLA-4 and GARP gene expression by microRNA using site-directed mutagenesis and a dual-luciferase reporter assay. Furthermore, we used microRNA transduction experiments to demonstrate that these microRNAs impacted their target genes in human primary Treg cells ex vivo.ConclusionsWe are examining the biological relevance of this `signature¿ by studying its impact on other important Treg cell-associated genes. These efforts could result in a better understanding of the regulation of Treg cell function and might reveal new targets for immunotherapy in immune disorders and cancer.

MicroRNAs in Ewing's Sarcoma

Les tumeurs de la famille du sarcome d'Ewing (ESFTs) sont les deuxièmes plus fréquentes formes de cancer de l'os chez l'enfant et l'adolescent. Le gène de fusion EWS-FLI1 est associé à 85-90% des ESFTs. Ce cancer a probablement pour origine des cellules souches mésenchymateuses (MSCs). Il a en effet été démontré que les MSCs pédiatriques (hpMSCs) sont particulièrement permissives pour le gène de fusion EWS-FLI1 et que celui-ci induit des gènes de cellules souches embryonnaires. Ceci génère une sous-population de cellules présentant des caractéristiques de cellules souches cancéreuses de sarcome d'Ewing (ESFT CSCs) in vitro. Ces cellules reprogrammées n'ont pas de potentiel tumorigénique et un certain nombre de microARN ne sont pas réprimés ou exprimés comme dans un sarcome d'Ewing primaire et sa sous-population de CSCs. Parmi ces microARN on trouve en particulier les membres de la famille let-7 qui jouent un rôle clé dans le contrôle de l'état de différenciation des cellules et régulent de nombreux oncogènes. De plus, leur répression serait capable de favoriser la tumorigénèse. Tous les membres de la famille des microARNs let-7 ont un régulateur commun, la protéine lin-28, qui exerce notamment son action en bloquant la maturation de ces microARNs. Dans ce travail, il s'agira d'évaluer si la co-expression de EWS-FLI1 et de lin-28 dans des hpMSCs permet de créer une sous-population de cellules présentant les caractéristiques de ESFT CSCs. Nous évaluerons l'effet de lin-28 sur les membres de la famille des let7 dans les hpMSCs et apprécierons le potentiel tumorigénique in vivo des hpMSCs exprimant EWS-FLI1 et lin-28. L'outil « Targetscan » est un logiciel qui permet de prédire les cibles des microARN en analysant leur séquence et en la comparant à l'ARN messager 3' non transcrit. Pour les microARN de la famille des let-7, cet outil identifie des gènes cibles potentiels qui jouent un rôle important dans le sarcome d'Ewing. Nous évaluerons si ces protéines sont en effet régulées de façon let-7 dépendante et les conséquences sur la pathogénèse des ESFTs.

Analisi di espressione di microRNA in Tumore a Cellule Giganti: identificazione dei target con ruolo di potenziali biomarcatori

Il Tumore a Cellule Giganti dell’osso (TCG) è una rara neoplasia che rappresenta il 5% dei tumori di natura ossea; sebbene venga considerato un tumore a decorso benigno può manifestare caratteri di aggressività locale dando origine a recidive locali nel 10-25% dei casi, e nel 2-4% dei casi metastatizza a livello polmonare. In questo studio è stata valutata l’espressione dei miRNA mediante miRNA microarray in 10 pazienti affetti da TCG, 5 con metastasi e 5 liberi da malattia; sono stati riscontrati miRNA differenzialmente espressi tra i 2 gruppi di pazienti e la successiva validazione mediante Real Time PCR ha confermato una differenza significativa per il miR-136 (p=0.04). Mediante analisi bioinformatica con il software TargetScan abbiamo identificato RANK e NF1B come target del miR-136 e ne abbiamo studiato l’espressione mediante Real Time PCR su una più ampia casistica di pazienti affetti da TCG, metastatico e non, evidenziando una maggior espressione di NF1B nel gruppo di pazienti metastatici, mentre RANK non ha dimostrato una differenza significativa. L’analisi di Western Blot ha rilevato una maggiore espressione di entrambe le proteine nei pazienti metastatici rispetto ai non metastatici. Successivamente è stato condotto uno studio di immunoistochimica su TMA di 163 campioni di pazienti affetti da TCG a diverso decorso clinico che ha dimostrato una maggiore e significativa espressione di entrambe i target nei pazienti con metastasi rispetto ai non metastatici; le analisi di popolazione mediante Kaplan-Meier hanno confermato la correlazione tra over-espressione di RANK, NF1B e ricaduta con metastasi (p=0.001 e p<0.0005 rispettivamente). Lo studio di immunoistochimica è stato ampliato alle proteine maggiormente coinvolte nell’osteolisi che risultano avere un significato prognostico; tuttavia mediante analisi di ROC, la co-over-espressione di RANK, RANKL e NF1B rappresenta il migliore modello per predire la comparsa di metastasi (AUC=0.782, p<0.0005).

Changes in miRNA Expression in a Model of Microcephaly

miRNAs function to regulate gene expression through post-transcriptional mechanisms to potentially regulate multiple aspects of physiology and development. Whole transcriptome analysis has been conducted on the citron kinase mutant rat, a mutant that shows decreases in brain growth and development. The resulting differences in RNA between mutant and wild-type controls can be used to identify genetic pathways that may be regulated differentially in normal compared to abnormal neurogenesis. The goal of this thesis was to verify, with quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), changes in miRNA expression in Cit-k mutants and wild types. In addition to confirming miRNA expression changes, bio-informatics software TargetScan 5.1 was used to identify potential mRNA targets of the differentially expressed miRNAs. The miRNAs that were confirmed to change include: rno-miR-466c, mmu-miR-493, mmu-miR-297a, hsa-miR-765, and hsa-miR-1270. The TargetScan analysis revealed 347 potential targets which have known roles in development. A subset of these potential targets include genes involved in the Wnt signaling pathway which is known to be an important regulator of stem cell development.